Daniel Kifer

Professor of Computer Science & Engineering

Daniel Kifer

Publication Tags

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Learning Convolutional Neural Networks Deep Learning Soil Moisture Travel Time Semantics Neural Networks Simulation Neurons Hydrology Big Data Moisture Time Series Pixels Carbon Convolution Prolongation Injections Science Coding Image Compression Landslide Pressure Crime Physics

Most Recent Publications

Alexander Ororbia, Daniel Kifer, 2022, Nature Communications

S. Nagendra, Daniel Kifer, S. Manjunatha, Benjamin Mirus, Kathryn Lawson, D Kifer, T. Pei, Daniel Kifer, W. Li, Kathryn Lawson, Te Pei, Srikanth Banagere Manjunatha, Benjamin Mirus, K. Lawson, H. Nguyen, Weixin Li Li, Hien Nguyen, Tong Qiu, S. Tran, T Qiu, Chaopeng Shen, C Shen, Sarah Tran, Chaopeng Shen, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing on p. 4349-4370

John Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, Philip Leclerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, Matthew Spence, Pavel Zhuravlev, 2022, Harvard Data Science Review

Ankur Mali, Alexander Ororbia, II, Alexander Ororbia, Daniel Kifer, Clyde Giles, 2022, CoRR on p. 471

Zeyu Ding, Yuxin Wang, Wang Yuxin, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, D Kifer, Daniel Kifer, 2022, VLDB Journal on p. 23-48

Yuxin Wang, Zeyu DIng, Yingtai Xiao, Daniel Kifer, Danfeng Zhang, 2021, on p. 393-411

Parisa Shokouhi, Vikas Kumar, Sumedha Prathipati, Seyyed A. Hosseini, Clyde Lee Giles, Daniel Kifer, 2021, Journal of Contaminant Hydrology

Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Mali, 2021, on p. 3701-3710

Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng, Chaopeng Shen, 2021, Water Resources Research

Ankur Mali, Alexander Ororbia, Dan Kifer, Clyde Giles, 2021, CoRR on p. 356

Most-Cited Papers

Pufferfish: A framework for mathematical privacy definitions

Daniel Kifer, Ashwin Machanavajjhala, 2014, ACM Transactions on Database Systems

Kuai Fang, Chaopeng Shen, Daniel Kifer, Xiao Yang, 2017, Geophysical Research Letters on p. 11,030-11,039

Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi John Chang, Sangram Ganguly, Kuo Lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li, Wen Ping Tsai, 2018, Hydrology and Earth System Sciences on p. 5639-5656

Learning to extract semantic structure from documents using multimodal fully convolutional neural networks

Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, Clyde Giles, 2017, on p. 4342–4351

Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li, 2016, on p. 635-644

Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles, 2017, on p. 3280-3286

Hongjian Wang, Xianfeng Tang, Yu Hsuan Kuo, Daniel Kifer, Zhenhui Li, 2019, ACM Transactions on Intelligent Systems and Technology

Multi-Scale Multi-Task FCN for Semantic Page Segmentation and Table Detection

Dafang He, Scott Cohen, Brian Price, Daniel Kifer, C. Lee Giles, 2017, on p. 254-261

Multi-scale FCN with cascaded instance aware segmentation for arbitrary oriented word spotting in the wild

Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alex G. Ororbia, Daniel Kifer, C. Lee Giles, 2017, on p. 474-483